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Fiverr Pro
English
$
USD
I will audit your ai product to cut costs, fix issues and optimize performance
Hassan Ahmed
About this gig
Are your OpenAI / Anthropic bills skyrocketing without a clear reason?
Seeing unexpected errors, slow responses, or inconsistent outputs?
I will perform a deep audit of your AI product, chatbot, automation pipeline, or LLM workflow and provide a clear, prioritized action plan to reduce costs, fix issues, and improve reliability.
What I Audit
- Token usage & API cost breakdown per feature or endpoint
- Prompt efficiency bloated prompts, missing constraints, poor instructions
- Caching strategy semantic caching, prompt caching, Redis/CDN caching opportunities
- Model selection are you using the right model for each task? (GPT-4o vs mini, Claude Opus vs Haiku)
- LLM call frequency redundant or unnecessary API calls
- RAG & retrieval pipelines chunking, embedding, context window abuse
- Error patterns hallucinations, broken chains, retry storms, rate limit issues
- Agent & tool use efficiency unnecessary tool calls, poor routing logic
- Output validation missing guardrails, unstructured outputs causing downstream failures
Message me with a brief description of your stack before ordering and I'll confirm I can help within a few hours.
Get to know Hassan Ahmed
Hassan Ahmed
Full Stack Web Engineer
- FromPakistan
- Member sinceDec 2023
- Avg. response time1 hour
- Last delivery7 months
Languages
English, Spanish, German
I'm a full-stack engineer with 5+ years building production systems. Currently working at Botsify where I built multi-provider AI backends integrating OpenAI, Gemini, AWS Bedrock, and MCP agents. I specialize in Laravel backends, Vue JS, POS, CRM, Voice Agent, AI SaaS platforms, automation workflows with n8n, and real-time streaming systems.
If you need something built properly and not just patched together, I'm your guy.
My Portfolio
FAQ
What information do I need to share with you?
Ideally: your tech stack, which LLM provider you use, a rough idea of your monthly API spend, and access to logs or a description of your pipelines. You don't need to share API keys or sensitive data — a walkthrough or screenshot is usually enough to get started.
How much can I realistically save?
Most clients see 30–70% cost reduction after implementing audit recommendations. The biggest wins usually come from model downgrades for simple tasks, prompt compression, and adding semantic or prompt caching — often cutting bills in half within a week.
Which AI frameworks and providers do you support?
OpenAI (GPT-4, GPT-4o, o1), Anthropic Claude, Google Gemini, Mistral, LangChain, LlamaIndex, CrewAI, AutoGen, n8n, Make.com, Flowise, and custom Python or Node.js pipelines. If you're using something else, message me — I most likely cover it.
What is prompt caching and how does it save money?
Prompt caching stores the result of repeated or similar LLM calls so the same question doesn't hit the API twice. For products with repetitive system prompts or common queries, this alone can reduce API costs by 40–80%. I'll identify exactly where in your product this applies.
Will you fix the issues or just report them?
The Basic and Standard packages include a detailed written report with specific recommendations. The Premium package includes code-level fix snippets and a 30-minute video walkthrough so you or your developer can implement changes with confidence.
